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Quality has undergone several transformations over the past decades. From the inspection to total quality management (TQM), some tools have been created to improve the performance of industrial processes and services, such as control charts and Pareto’s diagram. Now, the fourth industrial revolution (4th IR), Industry 4.0, has become part of the routine of organizations and people. The purpose of this paper is to verify how traditional quality concepts are being adapted within organizations.

As the term “Quality 4.0” is still recent, this research aimed to conduct a literature review on the topic by using the systematic literature review method called Bibliometrix. Through the combination of keywords, 116 papers were found. After eliminating the repeated papers, an analysis was made with the remaining 104 papers, presenting the sources of publication, period of publication, countries, among other characteristics. Finally, a more detailed analysis of the 10 most recent papers published in journals was performed.

The main results of this research are: publications on the topic have increased significantly from 2013, mainly in journals and conference papers; the most important elements connected with Quality 4.0 are Quality Management and Industry 4.0; there is not yet a universal definition for Quality 4.0; however, it seems that digital tools can be used to improve the performance of processes; one can expect a natural evolution from TQM to Quality 4.0, not replacing the traditional quality methods; activities inside organizations will be faster and smarter, due to the use of Big Data and Artificial Intelligence (AI), combined with traditional quality methods.

Identifying new approaches and gaps for quality research may improve the development of new concepts and tools.

The changes brought by Industry 4.0 go beyond transformations in the industrial environment. The increasingly frequent digitization and robotization of activities is not only restricted to the industrial environment, but also to people's daily routine. People spend a large part of their time inside buildings, and maintaining adequate Indoor Environmental Quality (IEQ) is an essential factor for a healthy and productive environment. In this sense, the purpose of this study is to verify how the Internet of Things (IoT) is being used to improve the indoor environment, through sensors that instantly measure the conditions of the environment.

The aim of this paper is to verify, through a literature review, how IoT is being used for building control (for energy saving purposes) and to monitor IEQ conditions inside buildings, in order to provide a better environment for occupants, in terms of health and comfort. By combining keywords in databases, PRISMA method was used to select the articles for analysis, and 91 articles were analyzed.

The main findings in this research are: (1) the main purpose for applying IoT inside buildings is to reduce energy consumption; (2) there is an interest in developing low-cost sensoring devices with a learning approach; (3) Machine Learning methods are mainly used for energy saving purposes and to learn about occupants' behavior inside buildings, focusing on thermal comfort; (4) sensors in the IoT era are a requirement to help improve people's comfort and well-being.

Studies directly correlating IoT and IEQ are limited. This paper emphasises the link between them, through the presentation of recent methods to control the built environment.